# LangGraph Alternatives (2026): 5 Compared

> Source: https://theagentsindex.com/langgraph/alternatives (curated, quality-gated, re-verified)

LangGraph is LangChain's open-source framework for stateful, multi-agent workflows: unlike simpler DAG-only orchestrators, it natively supports cyclical graphs, multiple agent architectures (single, multi-agent, hierarchical) in one framework, and built-in memory and human-in-the-loop checkpoints, not features bolted on after the fact. The core framework is MIT-licensed and genuinely free with no usage limits, and a free "Introduction to LangGraph" course lowers the learning curve. The catch shows up once you deploy: LangSmith, the tracing and deployment layer most teams pair it with, stacks a $39/seat/month Plus tier with separately-metered LangChain Compute Units ($1.50 each) and Storage Units ($1.00 each) on top of your LLM API costs, so a small production setup commonly runs $75-$100/month before any model spend, and LangSmith Plus caps out at 10 users before pushing you into custom Enterprise pricing. It is also unapologetically code-first: per one of its own authors, LangGraph is not a no-code visual programming tool, so non-technical teams need LangChain's separate Fleet product or another platform. Stay with LangGraph if you are already in the LangChain ecosystem and need genuine cyclical-graph control with deployment and tracing built in; move if you want a simpler collaboration model, a lighter type-safe framework, a minimalist SDK, native Google Cloud deployment, or a TypeScript-native stack instead of a Python one. The five tools below are independently researched, Published listings on this site, not a scraped or AI-generated list: each carries current pricing we verified, sourced pros and cons, and an honest best-for and not-for call.

| # | Name | What it is | Why it's here | Pricing | API |
| --- | --- | --- | --- | --- | --- |
| 1 | [CrewAI](https://theagentsindex.com/crewai.md) | Open-source Python framework for role-based multi-agent crews, with a hosted build and runtime that adds enterprise governance, native SDKs for the major LLMs, and Ollama via LiteLLM. | The closest direct rival in shape and market -- both are Python multi-agent orchestration frameworks competing for the same developer buyer. CrewAI's Basic tier is free for 50 workflow executions/month, and its open-source core deploys to your own VPC or fully self-hosted with unlimited executions, an alternative to LangSmith's per-seat-plus-LCU/LSU metering. The tradeoff: agent collaboration is limited to two modes (Sequential and Hierarchical) versus LangGraph's full cyclical graph, and there is no pay-as-you-go overage -- exceeding a plan's execution quota forces an upgrade to the next tier rather than metered billing. | Free (month (50 workflow executions)) | Yes |
| 2 | [Pydantic AI](https://theagentsindex.com/pydantic-ai.md) | The Python AI SDK for type-safe agents, realtime voice, image generation and embeddings, with every model a string swap away. | The lighter-weight move for teams that do not need LangGraph-depth native graph-branching control as the core of the framework. MIT-licensed and free, with type safety that catches malformed model outputs at write-time and FastAPI-like low-boilerplate ergonomics. Its 2.0 release (2026-06-23) added checkpointed, fault-tolerant durability, but it runs through a separate orchestrator you operate yourself (Temporal, DBOS, Prefect or Restate) rather than LangGraph's built-in, zero-infrastructure engine, and it ships fewer pre-built integrations than LangChain, so you build more of the glue yourself. | Free | — |
| 3 | [OpenAI Agents SDK](https://theagentsindex.com/openai-agents-sdk.md) | OpenAI's lightweight open-source framework for building agents in Python and TypeScript, with handoffs, guardrails, tracing and a sandboxed workspace mode for long-running work. | The minimalist move: free, open source, and provider-agnostic through LiteLLM support for 100+ models, so you are not locked to OpenAI despite the name. Minimal primitives (agents, handoffs, guardrails, sessions) with tracing built in get you production-ready quickly. The honest limit, named in its own Published cons: durable state is a manually-captured `RunState` snapshot, not automatic step-by-step checkpointing, and handoffs are linear chains rather than a graph, so teams needing complex branching or crash-safe mid-run resume sometimes outgrow it and move to LangGraph -- this is the pick only if your workflows stay simple. | Free | Yes |
| 4 | [Google Agent Development Kit](https://theagentsindex.com/google-adk.md) | Google's open-source, code-first agent SDK with five language runtimes (Python, TypeScript, Go, Java, Kotlin), native A2A and MCP support, and an optional managed runtime on Google Cloud. | For teams already on Google Cloud/Gemini, or wanting the broadest language coverage of any framework here -- production-grade Python, Go, Java and TypeScript SDKs all at 1.0 GA, versus rivals' one to three languages. The self-hosted SDK is free and genuinely model-agnostic in practice (OpenAI, Claude, Cohere and local Ollama models are reachable via LiteLLM despite the Gemini-first branding). It does not solve LangGraph's cost-predictability problem so much as trade it for a different one: the managed Agent Runtime meters compute, memory and session storage separately with no flat fee and no hard spending cap, and documentation/tutorials skew heavily toward Python over the newer-language SDKs. | Free | Yes |
| 5 | [Mastra](https://theagentsindex.com/mastra.md) | The TypeScript-native agent framework. Agents, durable workflows, memory and observability in one Apache 2.0 package, with an optional managed cloud platform. | The TypeScript-native move for Next.js/Node shops that do not want to stand up a separate Python service -- the only framework in this category built TS-first rather than ported from Python, with agents, durable typed workflows, memory and observability unified in one package. The self-hosted core is free and Apache-2.0, and the Mastra Cloud Starter tier is $0/month for 100K observability events and 24 CPU hours before metered overage. The tradeoff: it is TypeScript-only with no first-party Python support, enterprise controls (RBAC, SSO, IAM) sit behind a source-available Enterprise license rather than the open core, and as a framework founded in 2024 it has a far smaller tutorial and integration base than LangChain's multi-year head start. | Free | Yes |

## Methodology

We only draw alternatives from this site's own Published, individually-researched agent-framework listings, never a fresh, unverified list. A tool qualifies only if it is a genuine agent-orchestration framework we have fact-checked against its own pricing and docs, with sourced pros, cons and a best-for call already in place. The order below runs from LangGraph's closest direct rival through to frameworks that solve a specific tradeoff -- collaboration-model complexity, type safety, minimalism, cloud-vendor fit or language ecosystem -- that LangGraph's own listing names as a real limitation.